Synthical
Your space
Profile
Activity
Favorites
Folders
Feeds
All articles
Claim page
Dominique Beaini
Follow
Activity
Upvotes
Folders
Articles
20
OpenQDC: Open Quantum Data Commons
29 November 2024 by
Cristian Gabellini
and
others
at
University of Wisconsin-Madison
Chemical Physics
,
Machine Learning
ET-Flow: Equivariant Flow-Matching for Molecular Conformer Generation
29 October 2024 by
Majdi Hassan
and
others
at
Université de Montréal
Quantitative Methods
,
Machine Learning
On the Scalability of GNNs for Molecular Graphs
11 September 2024 by
Maciej Sypetkowski
and
others
Machine Learning
How Molecules Impact Cells: Unlocking Contrastive PhenoMolecular Retrieval
10 September 2024 by
Philip Fradkin
and
others
Quantitative Methods
,
Machine Learning
Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology
16 April 2024 by
Oren Kraus
and
others
Computer Vision and Pattern Recognition
,
Artificial Intelligence
Long Range Graph Benchmark
28 November 2023 by
Vijay Prakash Dwivedi
and
others
at
Université de Montréal
Machine Learning
Generating QM1B with PySCF
_{\text{IPU}}
2 November 2023 by
Alexander Mathiasen
and
others
at
Université de Montréal
Machine Learning
,
Chemical Physics
Role of Structural and Conformational Diversity for Machine Learning Potentials
30 October 2023 by
Nikhil Shenoy
and
others
Chemical Physics
,
Machine Learning
Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets
18 October 2023 by
Dominique Beaini
and
others
Machine Learning
Graph Positional and Structural Encoder
14 July 2023 by
Renming Liu
and
others
Machine Learning
GPS++: Reviving the Art of Message Passing for Molecular Property Prediction
12 May 2023 by
Dominic Masters
and
others
Machine Learning
Task-Agnostic Graph Neural Network Evaluation via Adversarial Collaboration
11 February 2023 by
Xiangyu Zhao
and
others
Machine Learning
GPS++: An Optimised Hybrid MPNN/Transformer for Molecular Property Prediction
6 December 2022 by
Dominic Masters
and
others
Quantitative Methods
,
Machine Learning
Recipe for a General, Powerful, Scalable Graph Transformer
10 July 2022 by
Ladislav Rampášek
and
others
Machine Learning
3D Infomax improves GNNs for Molecular Property Prediction
27 November 2021 by
Hannes Stärk
and
others
Machine Learning
,
Artificial Intelligence
Directional Graph Networks
10 December 2020 by
Dominique Beaini
and
others
Machine Learning
,
Computational Geometry
Principal Neighbourhood Aggregation for Graph Nets
25 May 2020 by
Gabriele Corso
and
others
Machine Learning
,
Computer Vision and Pattern Recognition
Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration
11 March 2020 by
Dominique Beaini
and
others
Computer Vision and Pattern Recognition
,
Artificial Intelligence
Saliency Enhancement using Gradient Domain Edges Merging
11 February 2020 by
Dominique Beaini
and
others
Computer Vision and Pattern Recognition
Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks
15 November 2019 by
Dominique Beaini
and
others
Computer Vision and Pattern Recognition
,
Machine Learning
Computing the Spatial Probability of Inclusion inside Partial Contours for Computer Vision Applications
18 August 2019 by
Dominique Beaini
and
others
Computer Vision and Pattern Recognition
,
Numerical Analysis
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution
2 July 2019 by
Dominique Beaini
and
others
Computer Vision and Pattern Recognition
,
Discrete Mathematics
Novel Convolution Kernels for Computer Vision and Shape Analysis based on Electromagnetism
20 June 2018 by
Dominique Beaini
and
others
Computer Vision and Pattern Recognition
This is an AI-generated summary
Key points
Topics
Machine Learning
Computer Vision and Pattern Recognition
Artificial Intelligence
Chemical Physics
Numerical Analysis
Quantitative Methods
Biomolecules
Computational Geometry
Social and Information Networks
Discrete Mathematics
